Aug 3, 2024 · It is notable that these methods focus primarily on the channel dimension and the analysis of semantic features, neglecting the consideration of ...
Aug 5, 2024 · Spatial Group and Cross-Channel Attention: Make Smaller Models More Effective, Focus on High-Level Semantic Features. Authors: Ze-chen Zheng.
Aug 5, 2024 · In this article, we focus on the nominal functions, singling out three different bundles of semantic features that characterize both ne and de.
Spatial Group and Cross-Channel Attention: Make Smaller Models More Effective, Focus on High-Level Semantic Features. Authors : Ze-chen Zheng, Chao Fan ...
Following the setting, Spatial group-wise enhance (SGE) attention [6] grouped the channel dimensions into multiple sub-features, and improved the spatial ...
SGE explicitly distributes different but accurate spatial attention masks for various semantics, through the guidance of local-global simi- larities inside each ...
Jul 18, 2024 · This paper presents a novel feature-boosting network that gathers spatial context from multiple levels of feature extraction and computes the attention weights.
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May 6, 2024 · This paper proposes a method in which a space embedded channel module and a channel embedded space module are cascaded to enhance the model's representational ...
Jul 12, 2024 · In this study, we propose the adaptive attention module (AAM), which is a truly lightweight yet effective module that comprises channel and spatial submodules.
We propose a novel Channelized Axial Attention, which breaks down the axial attention into more basic parts and inserts channel attention in between, ...